🔒 How to downgrade a module in anaconda jupyter notebook ?

[supple isle]

Hi,
I have some code that needs to run on astroquery 0.4.3 and some that needs to run on astroquery 0.4.7.

How can i do this on jupyter notebook from anaconda ?

Thanks for your help !

[whole thunder]

@supple isle

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[fierce iris]

See this
https://stackoverflow.com/a/6572017/11323371

Since both versions of the package share the same name only one can be installed at a time

Install the version you use more frequently, the other you can import from the local directory under an alias

[supple isle]

Im not sure i understand the point here. I have to download the old version from github and renamed it ?

[fierce iris]

Basically yes, you can have one version installed like you currently do

The other version will import the older version under a different name

Eg import some-package as other-package

That way you get to use both versions

[supple isle]

the point i dont get is how do i install the older version ?

I-ve always only use pip install to install module but if I use this it will erase the newer one

[fierce iris]

You cannot install another version of the same package

At least for the moment

Installing another version will overwrite your current installation

[supple isle]

yes that what i understood

so how should i go then ?

[fierce iris]

Try this

[supple isle]

You can tell it to install a specific version, but it will override the other one. On the other hand, using two virtualenvs will let you install both versions on the same machine, but not use them at the same time.

Your best bet is to install both versions manually by putting them in your Python path with a different name.

But if your two libs expect them to have the same name (and they should), you will have to modify them so they pick up the version they need with some import alias such as:

import dependencyname_version as dependencyname
There is currently no clean way to do this. The best you can do is hope for this hack to work.

I'd rather ditch one of the two libs and replace it with an equivalent, or patch it to accept the new version of the dependency and give the patch back to the community.

---

Im trying to do this but i dont understand how to go about this part : "Your best bet is to install both versions manually by putting them in your Python path with a different name."

[dark hill]

You could have two different virtual environments instead

Are you sure you can't fix the code to support the latest version?

[supple isle]

yeah that was my original idea but i dont really know how to do this in jupyter notebook ?

[supple isle]

they remove a function i was using (idk why they did this) so i cant really fix my code

[dark hill]

Ah in a bug fix release that's very bad

What function did they remove?

[dark hill]

You'd have two virtual environments and two notebooks

If you need to integrate them then you'll need to call one virtual environment in a subprocess from the other

[whole thunder]

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